Akash Sharma
नमस्ते 🙏
I am an AI/ML enthusiast currently pursuing a B.S. in Data Science and Applications at IIT Madras. With expertise in AI-driven tools, advanced data modeling, and machine learning, I have contributed to projects involving neuroscience knowledge graphs, AI-assisted code generation, and natural language to SQL systems. Proficient in Python, React, Flask, and generative AI techniques, I am passionate about designing innovative, data-driven solutions that address real-world challenges.
Project 1
Jiggly : Music App
Jiggly is a multi-user music streaming web application. This app is built on Vue.js framework for client-side and Flask for server-side. Additional features include daily reminders and caching using redis and celery, and token-based authentication using JWT.
Project 2
Analyzing the Business Model of a Jockey Outlet
In this capstone project, I conducted a comprehensive analysis of SR Associates, an exclusive Jockey outlet in
Guwahati, to address key business challenges impacting profitability and growth. By examining sales data and
customer behavior, I provided data-driven solutions to optimize inventory management, reduce stock-outs, and
increase foot traffic.
Project 3
Predicting the Success of Bank Telemarketing Campaigns
Utilized LightGBM, Gradient Boosting, and XGBoost to predict customer responses in a Kaggle bank telemarketing dataset. Applied imputation, One-Hot Encoding, and Standard scaling. Evaluated using F1 score (average macro) to ensure balanced accuracy, revealing insights for improved customer targeting and segmentation.
Project 4
Audio Book GUI
Application to convert text/pdf files into an audible format, built using Tkinter, GTTS, Python-tesseract & Pillow.
Project 5
News App GUI
A simple app to keep you updated with the daily news, built using Tkinter & News API.
